Brandon Cortés-Caicedo

TL;DR: The numerical results of simulations performed in IEEE 8, 25, and 37-node test systems demonstrate the applicability of the proposed DVSA methodology when compared with the classical Cuh & Beasley genetic algorithm.

TL;DR: In this paper , the authors presented a mixed-integer nonlinear programming model for the minimization of the total annual operative cost for a planning period of 20 years composed by the annualized costs of the energy purchasing at the substation bus summed with the annualised investment costs in photovoltaic (PV) sources, including their maintenance costs in distribution networks based on their optimal siting and sizing.

TL;DR: Numerical results on the 8-, 25-, and 37-node test systems show the efficiency of the proposed approach when compared to the classical version of the crow search algorithm, the Chu and Beasley genetic algorithm, and the vortex search algorithm.

TL;DR: In this paper , a master-slave methodology for solving the problem of optimal operation of photovoltaic (PV) distributed generators (DGs) in direct current (DC) networks is presented.

TL;DR: In this article , a leader-follower optimization approach is proposed for the optimal management of photovoltaic (PV) generation sources in DC grids while considering different objective functions, such as operational costs with respect to the energy purchasing costs at terminals of the substation, including the maintenance costs of the PV sources.